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pranaygupta36 avatar pranaygupta36 commented on May 31, 2024 1

The visual feature representation obtained by MSG3D is 384 dimensional, whereas the one obtained by 4s-ShiftGCN is 256 dimensional. The pretrained models currently provided are trained using 4s-ShiftGCN. I can provide the pretrained model with MSG3D embeddings in the next few days, meanwhile you can try to reproduce the results by training synse from scratch using MSG3D embeddings.

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WurmD avatar WurmD commented on May 31, 2024

That would definetly be helpful, thank you

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pranaygupta36 avatar pranaygupta36 commented on May 31, 2024

Hey, please find the trained msg3d model here.

Place the above directory in the /synse_resources/language_modelling/ directory.

To run the zsl evaluation.

python synse_training.py --ntu 60 --phase train --ss 5 --st r --dataset './synse_resources/ntu_results/msg3d_5_r/' --wdir './synse_resources/language_modelling/synse_msg3d_5_r' --le bert --ve msg3d --num_cycles 10 --load_classifier --num_epoch_per_cycle 1700 --latent_size 100 --load_epoch 8499 --mode eval --gpu 0

Please let me know if there are more issues with the same.

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